Pith. sign in

Paper Citation Record · LEDGER

Hierarchical Inter-Message Passing for Learning on Molecular Graphs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.12179.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2006.12179 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:27:50.941166Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

34
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 635c9c05-ba51-47dc-b5be-2bc96b13071a · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Hierarchical Inter-Message Passing for Learning on Molecular Graphs

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.616024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:fc553c4a6940b30a0a1b4ffe5b3a5674f8fc50eaeadce5fa60850686af2fdc12

Observation bc99ad83-e24c-4c04-83a8-e4fc1e5a9200 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Hierarchical Inter-Message Passing for Learning on Molecular Graphs

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:37:19.026745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T21:27:50.941166Z digest=sha256:3e80713f136fa3bfaee9085100080841fc9a6a09462588888305f82c73f67485

Observation ccc53fee-6f58-45ce-9dc2-2546924081bc · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Hierarchical Inter-Message Passing for Learning on Molecular Graphs

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-06-26T11:09:23.658382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T10:59:25.867813Z digest=sha256:cb2447ac30e14618e3fb97da0e04d61cc0e6d0ebf7b451428d811be1b3d89cc9